A track shoe thorn structure optimization calculation method based on CFD-DEM coupling simulation

Abstract

The invention discloses a track shoe thorn structure optimization calculation method based on CFD-DEM coupling simulation. The method comprises the following specific steps: (1) establishing a physical model; (2) calculation area setting and grid division; (3) setting parameters and boundary conditions in CFD-DEM coupling; (4) performing coupling simulation, and acquiring acting forces of solid and liquid relative to crawler belt thorns; And (5) analyzing crawler belt track thorn structure optimization. Through post-processing analysis on a simulation calculation result, crawler belt track thorn structure parameters (crawler belt thorn height, crawler belt thorn thickness, crawler belt thorn mold drawing angle and crawler belt thorn form) are changed, and structure optimization is performed on crawler belt thorns, so that the hook traction force (namely the difference between soil thrust and driving resistance) of the crawler belt vehicle is improved, and the trafficability of the crawler belt vehicle is improved.

Description

technical field [0001] The invention relates to a calculation method for crawler spine structure optimization, in particular to a crawler spine structure optimization calculation method based on CFD-DEM coupling simulation. Background technique [0002] At present, tracked vehicles have good passability in non-road situations, especially in mountainous areas, ditches, deserts, etc., have good adhesion to soil, and have high traction efficiency. However, tracked vehicles are prone to slip when driving on the ground or sand where the solid phase and liquid phase coexist, resulting in complex changes in driving performance and poor passing performance. In terms of tracked vehicle transportation, if the tracked vehicle can be predicted The passing capacity under special working conditions can use these characteristics of tracked vehicles and the ground to select the optimal structural parameters. The traditional design and optimization method of crawler spine structure needs to ...

AI Technical Summary

Problems solved by technology

[0002] At present, tracked vehicles have good passability in non-road situations, especially in mountainous areas, ditches, deserts, etc., have good adhesion to soil, and have high traction efficiency. However, tracked vehicles are prone to slip when driving on the ground or sand where the solid phase and liquid phase coexist, resulting in complex changes in driving performance and poor passing performance. In terms of tracked vehicle transportation, if the tracked vehicle can be predicted The passing capacity under special working conditions can use these characteristics of tracked vehicles and the ground to select the optimal structural parameters. The traditional design and optimization method of crawler spine structure needs to obtain data through a large number of experiments. The research period is long and the cost is low. The investment is also relatively high. At present, the development of commercial simulation software is very mature, and the accuracy of the simulation results has also been greatly improved. Therefore, it is of great significance to conduct research on crawler spurs through numerical calculation methods.

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